code: def fit(self, ctx: Context, data: DataFrame = None) -> None:
      server = FedAVGServer(ctx=ctx)
      logger.info("server class init done, start fed training")
      server.train()
      logger.info("homo lr fit done")
  
file_path: FATE/python/fate/ml/glm/homo/lr/server.py
imports: from fate.ml.abc.module import HomoModule
  from fate.arch.dataframe import DataFrame
  from fate.arch import Context
  import logging
  from fate.ml.nn.homo.fedavg import FedAVGServer
label_desc: Use image node_id 2 for calling the HomoLRServer obj's underlying member method code with example usage: obj.fit(ctx, data) without return types